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Coordinating Neuromuscular Electrical Stimulation with Robotic Treadmill Training to Promote Rehabilitation of Independent Walking

Spinal cord injury patients could benefit in a multitude of ways from regaining the ability to walk.  Not only would they have mobility to enable them to get from one place to another, but their systemic health would benefit from the increased blood circulation and cardiovascular activity.  Although physical therapists can assist patients to perform walking movements on a treadmill, not only is this a costly therapy to continue in the long run, the movements the patients legs go through are passive, not generated primarily by the patients' own control.  Neuromuscular electrical stimulation (NMES)  can be added to such treadmill walking to activate muscles at certain times which would allow them to walk better with less assistance from a physical therapist.  This approach has not been used much yet but has shown positive results over treadmill training or NMES alone.  Thus far, the peripheral nerves have been stimulated at pre-set times relative to the initiation of a gait cycle. As far as the literature shows, this therapy was designed to serve immediate needs, analogous to a walking crutch, in that once the stimulation is taken away, the artificially triggered muscle activations which aid with walking are also expected to disappear. Additionally, these pre-programmed NMES systems induce fatigue quickly and result in an unnatural gait.

To address the aforementioned limitations of present NMES technology, we are developing a new NMES system which times stimulation to robotically controlled hindlimb position in spinal cord injured rodent animals during stepping. Our long-term aim in combining NMES with robotically controlled treadmill training (RTT) is to enhance activation of the spinal cord circuitry that controls gait. The rationale is that by stimulating neural pathways between the spinal cord and muscles at appropriate times, the therapy will reinforce spinal circuits which generate stepping.

The proposed NMES therapy will apply two different stimulation patterns: the “motor pattern” to elicit motor activity when mechanosensor-induced afferent activity has been predicted to have occurred (Fig. 1B, dashed --- trace), and the “sensory pattern” to induce motor activity by stimulating sensory axons which trigger walking-related spinal circuits (Fig. 1C, dashed --- trace). This approach is based on evidence of two principles: 1) that appropriately timed afferent activity during stepping influences and is important for spinal reorganization; and 2) that invoking activity-dependent plasticity also requires that the hindlimb stepping that we desire to reinforce is coincident with the stimulation therapy. The motor pattern is hypothesized to reinforce spinal circuitry which controls walking by inducing synaptic potentiation (Fig. 1B); the sensory pattern is hypothesized to elicit centrally controlled walking behavior (Fig. 1C); i.e., walking controlled by the spinal cord as would more naturally be the case in non-injured individuals. Thus, stimulation patterns will need to be designed which preferentially evoke sensory or motor nerves. Different combinations of pulse width and frequency have been found to differentially activate motor and sensory nerves, but these findings have been used to study electrophysiological behavior rather than to develop novel therapeutics for SCI.


sensory stimspinal cord potentiationmotor stim



Previous Research Projects

Cognitive Effects of DBS

Deep brain stimulation (DBS) is used to treat Parkinson's disease (PD) when a patient does not seem to respond well to PD medication.  Electrodes are implanted into the deeper structures of the brain   which are affected by PD, and high frequency pulses of electrical current are delivered to these areas.  When successful, DBS alleviates, and sometimes abolishes, the main motor symptoms of PD; namely, tremor, rigidity, and bradykinesia.  The most common anatomical targets for DBS the subthalamic nucleus (STN) or globus pallidus interna (GPi).  These areas are not only involved in motor control but also in the control of cognitive tasks.  Thus, stimulation of STN or GPi could potentially alter cognitive as well as motor skills. Studies have shown mixed results of whether and how DBS affects cognition. 

The goal of this project was to study the acute effect of DBS on a commonly altered cognitive function in PD called response inhibition and its neural correlates.  Computerized tests were designed to test response inhibition.  PD patients with DBS were asked to take these tests at two different times: once with the DBS device turned on and once with DBS device turned off.  Surface EEG was recorded simultaneously and analyzed for changes in event related potentials that correlated with changes in cognition when DBS was on compared to when DBS was off.

Continuous Monitoring of Quantitative Measures of Parkinson's Disease Symptoms

Parkinson's disease is typically recognized by 3 major symptoms: tremor, rigidity, and akinesia.  Physicians assess these symptoms as a way to diagnose the severity of the disease, prescribe treatment, and determine whether and how to modify treatments.  However, the most common method of assessment is the Unified Parkinson's Disease Rating Scale, by which  doctors observe the patients symptoms and decide how severe each symptom is on a scale from 0 to 5.  We wanted to develop a system which was capable of the following functionality:
  1. Quantification of all three major motor symptoms (tremor, rigidity, and bradykinesia) as integrated functions in a single system.

  2. Continuous monitoring of time-varying measures of the motor symptoms.

  3. Output measures which are more closely related to the neurophysiological source of the symptoms than present methods.

  4. Measurement of symptoms during daily activities and not just in controlled laboratory tasks.

To meet our desired objectives, we sought an EMG-based measure of each of the 3 major symptoms.  In order to do so, we first built a system that was capable of acquring EMG wirelessly simultaneously with other extrinsic measures of tremor, rigidity, and bradykinesia which have been used previously in research but are not so readily integrated into a single portable system which could be used to monitor symptoms continously during daily tasks.  Therefore, our work primarily focused on determining an EMG correlates of tremor, rigidity, and bradykinesia.